Rare epithelial gastric cancers: a review of the current treatment knowledge.

Gastric cancer (GC), one of the tumours with the highest mortality worldwide, is not a homogeneous disease, showing different features according to location, macroscopic aspect, histotype and molecular alterations. Adenocarcinoma is the most frequent epithelial GC (95%), the remaining 5% comprising rare epithelial tumours with their peculiarities, behaviour and incidence <6 cases/100,000/year. Due to the low number of cases, many aspects must be elucidated in this context.

Search for Fractionally Charged Particles with CUORE.

The Cryogenic Underground Observatory for Rare Events (CUORE) is a detector array comprised by 988 5  cm×5  cm×5  cm TeO_{2} crystals held below 20 mK, primarily searching for neutrinoless double-beta decay in ^{130}Te. Unprecedented in size among cryogenic calorimetric experiments, CUORE provides a promising setting for the study of exotic throughgoing particles. Using the first tonne year of CUORE's exposure, we perform a search for hypothesized fractionally charged particles (FCPs), which are well-motivated by various standard model extensions and would have suppressed interactions with matter.

Changes in clinical presentation, management, and survival outcomes in patients affected by colorectal cancer following COVID-19 pandemic.

Background: As an extended analysis of the COVID-DELAY study, we aimed to assess the impact of the COVID-19 pandemic on diagnosis, staging, and survival outcomes among patients with colorectal cancer (CRC) diagnosis performed from 2019 to 2022.

Methods: All consecutive newly diagnosed CRC patients referred to 11 Italian Oncology Departments between March and December 2019, 2020, 2021, and 2022 were enrolled. Access rate, demographics, diagnostic-therapeutic temporal intervals, and first-line progression-free survival (PFS) and OS among metastatic patients were assessed.

Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning.

Cryogenic phonon detectors with transition-edge sensors achieve the best sensitivity to sub-GeV/c dark matter interactions with nuclei in current direct detection experiments. In such devices, the temperature of the thermometer and the bias current in its readout circuit need careful optimization to achieve optimal detector performance. This task is not trivial and is typically done manually by an expert.